I'm Alexey Gorodishenin — an executive with 20 years of experience transforming businesses: 320+ digitalization and automation projects, teams of up to 30 specialists, international markets. I help companies move from an impressive AI pilot to a process that delivers measurable results every day.
For twenty years I've been doing the same thing at different scales: taking a process that runs slowly, expensively, or chaotically, and rebuilding it so the result can be measured. The tools have changed — CRM, automation, robotics, and now generative AI and agentic systems. The foundation hasn't: process and people first, technology second.
I founded and spent 18 years running Alego.Digital: 320+ digitalization projects, teams of up to 30 specialists, annual revenue up to $10M, projects for companies at the level of STADA and BP. A separate layer of expertise is internet marketing: I built automated marketing management systems and ran client portfolios with advertising budgets of up to $5M a month — today that experience converts directly into AI marketing: analytics, segmentation, content, and campaign management on agentic tools. I brought industrial robotics to the Chinese market on projects involving Haier and Hisense, and structured technology deals for an investment fund. Since 2023 I've been building AI solutions hands-on, every day: LLM-based assistants, RAG systems on corporate documents, agentic workflows, AI-assisted application development — from scenario selection through team rollout and responsible-use rules.
My strength is a combination rarely found in one person: adaptability to new markets, cultures, and technologies; a current technology stack I use myself, not one I've only seen in slide decks; and a foundational university education that taught me to work with complex systems — technical and human.
LLM-based assistants and RAG solutions on corporate documents: structured knowledge bases, prompt engineering, systematic testing, and answer-quality control. Company knowledge stops living in people's heads and folders — it starts answering questions.
Redesigning processes where AI is the core, not an add-on: document processing, data extraction, reporting, repetitive decisions. System integration via APIs into end-to-end processes, with human oversight where the cost of error is high.
Working applications and prototypes built with AI tools (including Claude Code): business logic, databases, integrations, interfaces. Focus areas: LegalTech, documents, knowledge.
Selecting scenarios by impact and effort, ROI assessment, team training, responsible-AI-use policies — including EU AI Act requirements.
Only the speed at which the right way of organizing work starts paying off changes.
A map of the process and the points where AI will deliver a measurable effect.
A target process and a practical strategy built for the business's needs, not for the trend.
From prototype to tools the team uses every day.
Metrics, durability, replication to adjacent processes.
Transformation is always work with people, and I know how to lead it in teams where different nationalities, religious traditions, and generations meet — from specialists who started out with paper procedures to those who grew up with a neural network in their pocket. I’ve built such teams across four markets, and I know that respect for the other person’s culture isn’t a "soft skill" — it’s the condition under which change actually takes hold.
I stand for peace, not war; for solidarity, not confrontation; for respect for human rights. To me these aren't declarations but working sustainability principles (ESG) built into management: responsible use of AI, honest relationships with the team and partners, respect for the society the business operates in. I understand how this approach works economically: sustainable practices reduce regulatory and reputational risk, open access to capital and markets — and directly support the growth of a company's valuation.
LLM-based assistants, LegalTech solutions, agentic processes for research, documents, and analysis.
Digitalization, automation, CRM, automated marketing management systems. 320+ projects, teams of up to 30 people, revenue up to $10M/year; projects including for STADA and BP.
Evaluating and structuring technology projects: robotics, healthcare, real estate.
Localizing industrial robotics in China; projects involving Haier and Hisense; initiatives of up to $15M.
A digital platform, launched in several cities, raised investment, exited.
I speak on: practical AI implementation in business processes; AI in document and knowledge work; taking technology products into international markets. Formats: talks, panel discussions, closed executive briefings.
Open to a professional conversation: AI implementation, process transformation, speaking, and publications.